Chapters
0. Configuring your computer to use Python for scientific computing
1. Introduction to biological circuit design
2. Introduction to Python for biological circuits
3. Big functions from small circuits
4. Finding biological circuit motifs
5. Analysis of coherent feed forward loops
6. Incoherent feed-forward loops generate pulses, speed responses, and serve as dosage compensators
7. Molecular titration generates ultrasensitive responses in biological circuits
8. Robustness in biological circuits
9. Kinetic proofreading: Multi-step processes reduce error rates in molecular recognition
10. Blinking bacteria: The repressilator enables self-sustaining oscillations
11. Oscillators, part II: Uses, simplifications, and elaborations of negative feedback oscillators
12. Gene expression is noisy! How stochastic effects lead to heterogeneity
13. Bursty gene expression
14. Stochastic simulation of biological circuits
15. Stochastic differentiation
16. Cellular bet-hedging
17. Time-based regulation in cells
18. Paradoxical regulation in intra- and intercellular circuits
21. Turing patterns
22. Scaling reaction-diffusion patterns
Appendix A: Regulatory functions and their derivatives
Homework
Homework 1
Homework 2
Homework 3
Homework 3.1: Accelerated responses with FFLs (30 pts)
Homework 3.2: Noncooperative bistability with a growth-determined positive feedback circuit (40 pts)
Homework 3.2: A tri-stable cell-fate determinant circuit (30 pts)
Homework 4
Homework 5
Homework 6
Homework 7
Homework 8
Homework 9
Homework 10
Schedule
Schedule overview
Homework due dates
Lecture schedule
Policies
Lectures
Homework
Grading
Extensions
Course communications
“Ediquette”
Resources
Books
Package docs
biocircuits package documentation
Biological Circuit Design
»
Homework 3
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Homework 3
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Homework 3.1: Accelerated responses with FFLs (30 pts)
Homework 3.2: Noncooperative bistability with a growth-determined positive feedback circuit (40 pts)
Homework 3.2: A tri-stable cell-fate determinant circuit (30 pts)